Model comparison
Dolly 2.0-12b vs o3-pro
o3-pro is the stronger model overall, scoring 42.7 to 24.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
DatabricksSummary
- They share 1 benchmark with published results for both. Dolly 2.0-12b scores higher in 0 categories and o3-pro in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where o3-pro leads 57.1 to 15.3.
- Dolly 2.0-12b has downloadable open weights; the other is API-only.
Side by side
| Dolly 2.0-12b | o3-pro | |
|---|---|---|
| Provider | Databricks | OpenAI |
| Noometry Index | 24.9 | 42.7 |
| Released | 2023-04-11 | 2025-06-10 |
| Weights | Open | Proprietary |
| Context window | — | 200K |
| Max output | — | 100K |
| Input $ / M tokens | — | $20 |
| Output $ / M tokens | — | $80 |
| Results tracked | 17 | 12 |
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Category by category
Coding o3-pro leads
Dolly 2.0-12b: 23.0 (#327), o3-pro: 55.1 (#22)
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| Aider Polyglot | — | 84.9% |
| WeirdML | — | 58.2% |
| LMArena Coding | 776 | — |
Reasoning o3-pro leads
Dolly 2.0-12b: 14.6 (#315), o3-pro: 24.1 (#152)
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| Epoch Capabilities Index | 88.94 | 147.43 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 72.1% |
| ARC-AGI-1 | — | 59.3% |
| LMArena Hard Prompts | 804 | — |
| DTBench | — | 86.9% |
| LMCA | — | 38.5% |
| HellaSwag | 70.8% | — |
| PIQA | 75.4% | — |
| WinoGrande | 61.8% | — |
Math Not comparable
Dolly 2.0-12b: 25.0 (#250), o3-pro: —
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| LMArena Math | 871 | — |
Knowledge Not comparable
Dolly 2.0-12b: —, o3-pro: 29.0 (#234)
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 23.3% |
| ARC (AI2) Challenge | 39.6% | — |
| BoolQ | 56.3% | — |
| MMLU | 26.2% | — |
| OpenBookQA | 39.2% | — |
Multilingual Not comparable
Dolly 2.0-12b: 17.4 (#291), o3-pro: —
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| LMArena Non-English | 836 | — |
| LMArena Chinese | 836 | — |
Instruction Following Not comparable
Dolly 2.0-12b: 38.9 (#299), o3-pro: —
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| LMArena Instruction Following | 814 | — |
Long Context Not comparable
Dolly 2.0-12b: —, o3-pro: 72.1 (#1)
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
Writing & Preference o3-pro leads
Dolly 2.0-12b: 15.3 (#306), o3-pro: 57.1 (#128)
| Benchmark | Dolly 2.0-12b | o3-pro |
|---|---|---|
| LMArena Text | 851 | — |
| LMArena Creative Writing | 864 | — |
| Short-Story Creative Writing | — | 84.4% |
| LMArena Multi-Turn | 740 | — |
Frequently asked questions
Is Dolly 2.0-12b better than o3-pro?
o3-pro is the stronger model overall, scoring 42.7 to 24.9 on the Noometry Index.
Is Dolly 2.0-12b or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.1 versus 23.0 in the Noometry coding category.
How many benchmarks do Dolly 2.0-12b and o3-pro share?
1 benchmark has published results for both models. Dolly 2.0-12b has 17 scored results on Noometry and o3-pro has 12.